One of my favourites sketches Silly Job Interview.
Being involved in recruitment and selection practices I wonder whether to borrow this Pythin's idea and sell to my candidates ;)
Just kidding :D
Read more: http://www.orangecow.org/pythonet/sketches/intview.htm

published:10 Jan 2010

views:6207

This is a super simple python chatbot where we discuss how to get started doing python facebook bot development. We use Docker, DockerHub, Github, Ngrok, AWS, and Flask.
Thank you for watching this video. I hope you enjoy the content I post on the channel, subscribe and give feedback on your learnings with those who need to hear it. The more feedback you give the better we can make this for you.
Hit me with feedback below. I’ll reply to every comment.
—
Join the world’s fastest growing recruiting community, RecruitingLeaders on Facebookhttp://www.glance.fyi/fbgroup
—
► Subscribe to my channel here:
https://www.youtube.com/channel/UClcT0q1DpOWCXBvpm91Ph5w?sub_confirmation=1
—
Kam consults, advises and teaches recruiters how to grow their business, automate and alleviate marketing pain. He is a software developer turned recruiter and has experience building machine learning algorithms and recruiting products. He currently is a cofounder of Recruiting Leaders Academy and runs the world’s fastest growing facebook group for recruiters, Recruiting Leaders. He has spoken at SourceCon, taught hundreds of recruiters around the world and has been retained by some of the world's most innovative recruiting companies.
—
Follow MeOnline Here:
Instagram: http://instagram.com/kameronkales
Facebook: http://facebook.com/kameronkales
LinkedIn: https://www.linkedin.com/in/kameronkales
Snapchat: http://snapchat.com/add/kameronkales
Soundcloud: http://soundcloud.com/recruitingleaders
Twitter: http://twitter.com/kameronkales
Sticher: http://www.stitcher.com/s?fid=182860&refid=stpr
Medium: http://medium.com/@kales
Podcast: https://itunes.apple.com/us/podcast/recruiting-leaders/id1373829636?mt=2
Subscribe to my VIP chat for exclusive content and the best live trainings https://m.me/recruitingleadersacademy

published:04 Sep 2017

views:2036

This is video 5/10 in the PythonBasics video series where I'll be talking about ControlStructures.
Hope you enjoyed the video!
Check out this code here:
https://github.com/ebrian/engineerman/tree/master/025
Join my Discord server to chat with me:
https://discord.gg/k5VcqDP
Check out some code on my GitHub:
https://github.com/ebrian/engineerman
Tweet me something funny on Twitter:
https://twitter.com/_EngineerMan
Say hi over at Facebook:
https://www.facebook.com/engineermanyt
Sincerely,
Engineer Man

Thursday Bram
https://2016.pycon-au.org/schedule/115/view_talk
This tutorial will cover how to write about your programming projects for an online audience, whether you're promoting your projects, recruiting open source contributors, or building up a blog to impress employers. We'll briefly cover the mechanics of blogging, then dive into how to write effectively about technical topics.

Tariq Rashid - A Gentle Introduction to Neural Networks (with Python)
[EuroPython 2016]
[22 July 2016]
[Bilbao, Euskadi, Spain]
(https://ep2016.europython.eu//conference/talks/a-gentle-introduction-to-neural-networks-with-python)
A gentle introduction to neural networks, and making your own with Python.
This session is deliberately designed to be accessible to everyone,
including anyone with no expertise in mathematics, computer science or
Python.
From this session you will have an intuitive understanding of what
neural networks are and how they work. If you are more technically
capable, you will see how you could make your own with Python and
numpy.
-----
Part 1 - Ideas:
- the search for AI, hard problems for computers easy fro humans
- learning from examples (simple classifier)
- biologically inspired neurons and networks
- training a neural network - the back propagation breakthrough
- matrix ways of working (good for computers)
Part 2 - Python:
- Python is easy, and everywhere
- Python notebooks
- the MNIST data set
- a very simple neural network class
- focus on concise and efficient matrix calculations with bumpy
- 97.5% accuracy recognising handwritten numbers - with just a few
lines of code!
Part 3 - Q&A

published:06 Aug 2016

views:4638

LastVideo: https://www.youtube.com/watch?v=W-9hyTm1syc
How to code a linked list in 2 separate ways.
This is video #2 in my Linked List series.
From student to software engineer: Build your career at www.theforge.ca

published:14 Apr 2018

views:242

Recruiting is a 200 billion dollar industry thats all about judging potential job candidates and seeing if they're a good fit for a position at a company. Recruiters receive thousands of resumes and are responsible for analyzing all of them. Theres essentially a massive amount of data that these humans have to parse through and find the best ones. This is easily a problem machine learning can solve, we'll build an app that can classify resumes into 27 different job categories using natural language processing via a convolutional neural network. I'll explain how in this video. Also its midterm time, so see the link below for the midterm assignment.
Code for this video (with midterm):
https://github.com/llSourcell/AI_for_Resumes
Please Subscribe! And like. And comment. That's what keeps me going.
Want more education? Connect with me here:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology
instagram: https://www.instagram.com/sirajraval
More learning resources:
https://medium.com/the-mission/how-i-turned-my-resume-into-a-bot-and-how-you-can-too-f03847352baa
https://www.textkernel.com/challenges-behind-parsing-matching-cvs-jobs/
https://www.quora.com/How-do-I-develop-a-resume-parser-using-NLP-Natural-Language-Processing?utm_medium=organic&utm_source=google_rich_qa&utm_campaign=google_rich_qa
https://dzone.com/articles/cv-r-cvs-retrieval-system-based-on-job-description
https://www.slideshare.net/zainulsayed39/218-intelligent
Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/
Sign up for the next course at The School of AI:
https://www.theschool.ai
And please support me on Patreon:
https://www.patreon.com/user?u=3191693
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w

Python interpreters are available for installation on many operating systems, allowing Python code execution on a wide variety of systems. Using third-party tools, such as Py2exe or Pyinstaller, Python code can be packaged into stand-alone executable programs for some of the most popular operating systems, allowing the distribution of Python-based software for use on those environments without requiring the installation of a Python interpreter.

Silly Job Interview by Monty Python's

One of my favourites sketches Silly Job Interview.
Being involved in recruitment and selection practices I wonder whether to borrow this Pythin's idea and sell to my candidates ;)
Just kidding :D
Read more: http://www.orangecow.org/pythonet/sketches/intview.htm

14:16

Super Simple Python Facebook ChatBot

Super Simple Python Facebook ChatBot

Super Simple Python Facebook ChatBot

This is a super simple python chatbot where we discuss how to get started doing python facebook bot development. We use Docker, DockerHub, Github, Ngrok, AWS, and Flask.
Thank you for watching this video. I hope you enjoy the content I post on the channel, subscribe and give feedback on your learnings with those who need to hear it. The more feedback you give the better we can make this for you.
Hit me with feedback below. I’ll reply to every comment.
—
Join the world’s fastest growing recruiting community, RecruitingLeaders on Facebookhttp://www.glance.fyi/fbgroup
—
► Subscribe to my channel here:
https://www.youtube.com/channel/UClcT0q1DpOWCXBvpm91Ph5w?sub_confirmation=1
—
Kam consults, advises and teaches recruiters how to grow their business, automate and alleviate marketing pain. He is a software developer turned recruiter and has experience building machine learning algorithms and recruiting products. He currently is a cofounder of Recruiting Leaders Academy and runs the world’s fastest growing facebook group for recruiters, Recruiting Leaders. He has spoken at SourceCon, taught hundreds of recruiters around the world and has been retained by some of the world's most innovative recruiting companies.
—
Follow MeOnline Here:
Instagram: http://instagram.com/kameronkales
Facebook: http://facebook.com/kameronkales
LinkedIn: https://www.linkedin.com/in/kameronkales
Snapchat: http://snapchat.com/add/kameronkales
Soundcloud: http://soundcloud.com/recruitingleaders
Twitter: http://twitter.com/kameronkales
Sticher: http://www.stitcher.com/s?fid=182860&refid=stpr
Medium: http://medium.com/@kales
Podcast: https://itunes.apple.com/us/podcast/recruiting-leaders/id1373829636?mt=2
Subscribe to my VIP chat for exclusive content and the best live trainings https://m.me/recruitingleadersacademy

5:56

Control Structures - Python Basics 5/10

Control Structures - Python Basics 5/10

Control Structures - Python Basics 5/10

This is video 5/10 in the PythonBasics video series where I'll be talking about ControlStructures.
Hope you enjoyed the video!
Check out this code here:
https://github.com/ebrian/engineerman/tree/master/025
Join my Discord server to chat with me:
https://discord.gg/k5VcqDP
Check out some code on my GitHub:
https://github.com/ebrian/engineerman
Tweet me something funny on Twitter:
https://twitter.com/_EngineerMan
Say hi over at Facebook:
https://www.facebook.com/engineermanyt
Sincerely,
Engineer Man

Tutorial: Technical Blogging for Python Programmers

Thursday Bram
https://2016.pycon-au.org/schedule/115/view_talk
This tutorial will cover how to write about your programming projects for an online audience, whether you're promoting your projects, recruiting open source contributors, or building up a blog to impress employers. We'll briefly cover the mechanics of blogging, then dive into how to write effectively about technical topics.

Recruiting Queue CodeCombat. Python

Tariq Rashid - A Gentle Introduction to Neural Networks (with Python)

Tariq Rashid - A Gentle Introduction to Neural Networks (with Python)
[EuroPython 2016]
[22 July 2016]
[Bilbao, Euskadi, Spain]
(https://ep2016.europython.eu//conference/talks/a-gentle-introduction-to-neural-networks-with-python)
A gentle introduction to neural networks, and making your own with Python.
This session is deliberately designed to be accessible to everyone,
including anyone with no expertise in mathematics, computer science or
Python.
From this session you will have an intuitive understanding of what
neural networks are and how they work. If you are more technically
capable, you will see how you could make your own with Python and
numpy.
-----
Part 1 - Ideas:
- the search for AI, hard problems for computers easy fro humans
- learning from examples (simple classifier)
- biologically inspired neurons and networks
- training a neural network - the back propagation breakthrough
- matrix ways of working (good for computers)
Part 2 - Python:
- Python is easy, and everywhere
- Python notebooks
- the MNIST data set
- a very simple neural network class
- focus on concise and efficient matrix calculations with bumpy
- 97.5% accuracy recognising handwritten numbers - with just a few
lines of code!
Part 3 - Q&A

10:55

2 Simple Ways To Code Linked Lists In Python

2 Simple Ways To Code Linked Lists In Python

2 Simple Ways To Code Linked Lists In Python

LastVideo: https://www.youtube.com/watch?v=W-9hyTm1syc
How to code a linked list in 2 separate ways.
This is video #2 in my Linked List series.
From student to software engineer: Build your career at www.theforge.ca

12:39

AI for Resumes

AI for Resumes

AI for Resumes

Recruiting is a 200 billion dollar industry thats all about judging potential job candidates and seeing if they're a good fit for a position at a company. Recruiters receive thousands of resumes and are responsible for analyzing all of them. Theres essentially a massive amount of data that these humans have to parse through and find the best ones. This is easily a problem machine learning can solve, we'll build an app that can classify resumes into 27 different job categories using natural language processing via a convolutional neural network. I'll explain how in this video. Also its midterm time, so see the link below for the midterm assignment.
Code for this video (with midterm):
https://github.com/llSourcell/AI_for_Resumes
Please Subscribe! And like. And comment. That's what keeps me going.
Want more education? Connect with me here:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology
instagram: https://www.instagram.com/sirajraval
More learning resources:
https://medium.com/the-mission/how-i-turned-my-resume-into-a-bot-and-how-you-can-too-f03847352baa
https://www.textkernel.com/challenges-behind-parsing-matching-cvs-jobs/
https://www.quora.com/How-do-I-develop-a-resume-parser-using-NLP-Natural-Language-Processing?utm_medium=organic&utm_source=google_rich_qa&utm_campaign=google_rich_qa
https://dzone.com/articles/cv-r-cvs-retrieval-system-based-on-job-description
https://www.slideshare.net/zainulsayed39/218-intelligent
Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/
Sign up for the next course at The School of AI:
https://www.theschool.ai
And please support me on Patreon:
https://www.patreon.com/user?u=3191693
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w

2018 Predictions for the Analytics & Data Science Hiring Market

Several years into the "Big Data" craze, where do we go from here? The analytics & data science landscape has markedly changed over the past few years, and everyone is wondering what 2018 has in store.
In this presentation, Linda Burtch, Managing Director of Burtch Works, shares her top predictions for 2018 including:
- How to keep your skills current in a shifting market
- Why companies will increase their scrutiny of data science ROI
- Where the new Wild West of the analytics world is
- What skills employers will focus on this year
- Why Python is the new R
Whether you’re looking to transition your skills into data science, an experienced analytics professional, or a hiring manager looking to build up your team, find out where the market is headed!
For career tips and more information about our research, check out Burtch Works' other social media channels:
Twitter: https://twitter.com/burtchworks
LinkedIn: https://www.linkedin.com/company/burtch-works/
Facebook: https://facebook.com/burtchworks
Slideshare: https://slideshare.net/LindaBurtch
Blog: https://www.burtchworks.com/blog
Burtch Works is a targeted executive recruiting firm that specializes in placing exceptional quantitative business professionals. We work with highly-qualified professionals in many fields including marketing research, consumer insights, data science, data engineering, predictive analytics, marketing science, web analytics, direct marketing, credit/risk analytics, operations research, and many more.
Interested in learning more about how we can help with your hiring or want to find a new opportunity? Send us an email at info@burtchworks.com

Silly Job Interview by Monty Python's

One of my favourites sketches Silly Job Interview.
Being involved in recruitment and selection practices I wonder whether to borrow this Pythin's idea and sell to my candidates ;)
Just kidding :D
Read more: http://www.orangecow.org/pythonet/sketches/intview.htm

published: 10 Jan 2010

Super Simple Python Facebook ChatBot

This is a super simple python chatbot where we discuss how to get started doing python facebook bot development. We use Docker, DockerHub, Github, Ngrok, AWS, and Flask.
Thank you for watching this video. I hope you enjoy the content I post on the channel, subscribe and give feedback on your learnings with those who need to hear it. The more feedback you give the better we can make this for you.
Hit me with feedback below. I’ll reply to every comment.
—
Join the world’s fastest growing recruiting community, RecruitingLeaders on Facebookhttp://www.glance.fyi/fbgroup
—
► Subscribe to my channel here:
https://www.youtube.com/channel/UClcT0q1DpOWCXBvpm91Ph5w?sub_confirmation=1
—
Kam consults, advises and teaches recruiters how to grow their business, automate and alleviate marketing p...

published: 04 Sep 2017

Control Structures - Python Basics 5/10

This is video 5/10 in the PythonBasics video series where I'll be talking about ControlStructures.
Hope you enjoyed the video!
Check out this code here:
https://github.com/ebrian/engineerman/tree/master/025
Join my Discord server to chat with me:
https://discord.gg/k5VcqDP
Check out some code on my GitHub:
https://github.com/ebrian/engineerman
Tweet me something funny on Twitter:
https://twitter.com/_EngineerMan
Say hi over at Facebook:
https://www.facebook.com/engineermanyt
Sincerely,
Engineer Man

Tutorial: Technical Blogging for Python Programmers

Thursday Bram
https://2016.pycon-au.org/schedule/115/view_talk
This tutorial will cover how to write about your programming projects for an online audience, whether you're promoting your projects, recruiting open source contributors, or building up a blog to impress employers. We'll briefly cover the mechanics of blogging, then dive into how to write effectively about technical topics.

Recruiting Queue CodeCombat. Python

Tariq Rashid - A Gentle Introduction to Neural Networks (with Python)

Tariq Rashid - A Gentle Introduction to Neural Networks (with Python)
[EuroPython 2016]
[22 July 2016]
[Bilbao, Euskadi, Spain]
(https://ep2016.europython.eu//conference/talks/a-gentle-introduction-to-neural-networks-with-python)
A gentle introduction to neural networks, and making your own with Python.
This session is deliberately designed to be accessible to everyone,
including anyone with no expertise in mathematics, computer science or
Python.
From this session you will have an intuitive understanding of what
neural networks are and how they work. If you are more technically
capable, you will see how you could make your own with Python and
numpy.
-----
Part 1 - Ideas:
- the search for AI, hard problems for computers easy fro humans
- learning from examples (simple classifier)
-...

published: 06 Aug 2016

2 Simple Ways To Code Linked Lists In Python

LastVideo: https://www.youtube.com/watch?v=W-9hyTm1syc
How to code a linked list in 2 separate ways.
This is video #2 in my Linked List series.
From student to software engineer: Build your career at www.theforge.ca

published: 14 Apr 2018

AI for Resumes

Recruiting is a 200 billion dollar industry thats all about judging potential job candidates and seeing if they're a good fit for a position at a company. Recruiters receive thousands of resumes and are responsible for analyzing all of them. Theres essentially a massive amount of data that these humans have to parse through and find the best ones. This is easily a problem machine learning can solve, we'll build an app that can classify resumes into 27 different job categories using natural language processing via a convolutional neural network. I'll explain how in this video. Also its midterm time, so see the link below for the midterm assignment.
Code for this video (with midterm):
https://github.com/llSourcell/AI_for_Resumes
Please Subscribe! And like. And comment. That's what keeps m...

2018 Predictions for the Analytics & Data Science Hiring Market

Several years into the "Big Data" craze, where do we go from here? The analytics & data science landscape has markedly changed over the past few years, and everyone is wondering what 2018 has in store.
In this presentation, Linda Burtch, Managing Director of Burtch Works, shares her top predictions for 2018 including:
- How to keep your skills current in a shifting market
- Why companies will increase their scrutiny of data science ROI
- Where the new Wild West of the analytics world is
- What skills employers will focus on this year
- Why Python is the new R
Whether you’re looking to transition your skills into data science, an experienced analytics professional, or a hiring manager looking to build up your team, find out where the market is headed!
For career tips and more informatio...

Super Simple Python Facebook ChatBot

This is a super simple python chatbot where we discuss how to get started doing python facebook bot development. We use Docker, DockerHub, Github, Ngrok, AWS, a...

This is a super simple python chatbot where we discuss how to get started doing python facebook bot development. We use Docker, DockerHub, Github, Ngrok, AWS, and Flask.
Thank you for watching this video. I hope you enjoy the content I post on the channel, subscribe and give feedback on your learnings with those who need to hear it. The more feedback you give the better we can make this for you.
Hit me with feedback below. I’ll reply to every comment.
—
Join the world’s fastest growing recruiting community, RecruitingLeaders on Facebookhttp://www.glance.fyi/fbgroup
—
► Subscribe to my channel here:
https://www.youtube.com/channel/UClcT0q1DpOWCXBvpm91Ph5w?sub_confirmation=1
—
Kam consults, advises and teaches recruiters how to grow their business, automate and alleviate marketing pain. He is a software developer turned recruiter and has experience building machine learning algorithms and recruiting products. He currently is a cofounder of Recruiting Leaders Academy and runs the world’s fastest growing facebook group for recruiters, Recruiting Leaders. He has spoken at SourceCon, taught hundreds of recruiters around the world and has been retained by some of the world's most innovative recruiting companies.
—
Follow MeOnline Here:
Instagram: http://instagram.com/kameronkales
Facebook: http://facebook.com/kameronkales
LinkedIn: https://www.linkedin.com/in/kameronkales
Snapchat: http://snapchat.com/add/kameronkales
Soundcloud: http://soundcloud.com/recruitingleaders
Twitter: http://twitter.com/kameronkales
Sticher: http://www.stitcher.com/s?fid=182860&refid=stpr
Medium: http://medium.com/@kales
Podcast: https://itunes.apple.com/us/podcast/recruiting-leaders/id1373829636?mt=2
Subscribe to my VIP chat for exclusive content and the best live trainings https://m.me/recruitingleadersacademy

This is a super simple python chatbot where we discuss how to get started doing python facebook bot development. We use Docker, DockerHub, Github, Ngrok, AWS, and Flask.
Thank you for watching this video. I hope you enjoy the content I post on the channel, subscribe and give feedback on your learnings with those who need to hear it. The more feedback you give the better we can make this for you.
Hit me with feedback below. I’ll reply to every comment.
—
Join the world’s fastest growing recruiting community, RecruitingLeaders on Facebookhttp://www.glance.fyi/fbgroup
—
► Subscribe to my channel here:
https://www.youtube.com/channel/UClcT0q1DpOWCXBvpm91Ph5w?sub_confirmation=1
—
Kam consults, advises and teaches recruiters how to grow their business, automate and alleviate marketing pain. He is a software developer turned recruiter and has experience building machine learning algorithms and recruiting products. He currently is a cofounder of Recruiting Leaders Academy and runs the world’s fastest growing facebook group for recruiters, Recruiting Leaders. He has spoken at SourceCon, taught hundreds of recruiters around the world and has been retained by some of the world's most innovative recruiting companies.
—
Follow MeOnline Here:
Instagram: http://instagram.com/kameronkales
Facebook: http://facebook.com/kameronkales
LinkedIn: https://www.linkedin.com/in/kameronkales
Snapchat: http://snapchat.com/add/kameronkales
Soundcloud: http://soundcloud.com/recruitingleaders
Twitter: http://twitter.com/kameronkales
Sticher: http://www.stitcher.com/s?fid=182860&refid=stpr
Medium: http://medium.com/@kales
Podcast: https://itunes.apple.com/us/podcast/recruiting-leaders/id1373829636?mt=2
Subscribe to my VIP chat for exclusive content and the best live trainings https://m.me/recruitingleadersacademy

This is video 5/10 in the PythonBasics video series where I'll be talking about ControlStructures.
Hope you enjoyed the video!
Check out this code here:
https://github.com/ebrian/engineerman/tree/master/025
Join my Discord server to chat with me:
https://discord.gg/k5VcqDP
Check out some code on my GitHub:
https://github.com/ebrian/engineerman
Tweet me something funny on Twitter:
https://twitter.com/_EngineerMan
Say hi over at Facebook:
https://www.facebook.com/engineermanyt
Sincerely,
Engineer Man

This is video 5/10 in the PythonBasics video series where I'll be talking about ControlStructures.
Hope you enjoyed the video!
Check out this code here:
https://github.com/ebrian/engineerman/tree/master/025
Join my Discord server to chat with me:
https://discord.gg/k5VcqDP
Check out some code on my GitHub:
https://github.com/ebrian/engineerman
Tweet me something funny on Twitter:
https://twitter.com/_EngineerMan
Say hi over at Facebook:
https://www.facebook.com/engineermanyt
Sincerely,
Engineer Man

Tutorial: Technical Blogging for Python Programmers

Thursday Bram
https://2016.pycon-au.org/schedule/115/view_talk
This tutorial will cover how to write about your programming projects for an online audience, whe...

Thursday Bram
https://2016.pycon-au.org/schedule/115/view_talk
This tutorial will cover how to write about your programming projects for an online audience, whether you're promoting your projects, recruiting open source contributors, or building up a blog to impress employers. We'll briefly cover the mechanics of blogging, then dive into how to write effectively about technical topics.

Thursday Bram
https://2016.pycon-au.org/schedule/115/view_talk
This tutorial will cover how to write about your programming projects for an online audience, whether you're promoting your projects, recruiting open source contributors, or building up a blog to impress employers. We'll briefly cover the mechanics of blogging, then dive into how to write effectively about technical topics.

Tariq Rashid - A Gentle Introduction to Neural Networks (with Python)
[EuroPython 2016]
[22 July 2016]
[Bilbao, Euskadi, Spain]
(https://ep2016.europython.eu//conference/talks/a-gentle-introduction-to-neural-networks-with-python)
A gentle introduction to neural networks, and making your own with Python.
This session is deliberately designed to be accessible to everyone,
including anyone with no expertise in mathematics, computer science or
Python.
From this session you will have an intuitive understanding of what
neural networks are and how they work. If you are more technically
capable, you will see how you could make your own with Python and
numpy.
-----
Part 1 - Ideas:
- the search for AI, hard problems for computers easy fro humans
- learning from examples (simple classifier)
- biologically inspired neurons and networks
- training a neural network - the back propagation breakthrough
- matrix ways of working (good for computers)
Part 2 - Python:
- Python is easy, and everywhere
- Python notebooks
- the MNIST data set
- a very simple neural network class
- focus on concise and efficient matrix calculations with bumpy
- 97.5% accuracy recognising handwritten numbers - with just a few
lines of code!
Part 3 - Q&A

Tariq Rashid - A Gentle Introduction to Neural Networks (with Python)
[EuroPython 2016]
[22 July 2016]
[Bilbao, Euskadi, Spain]
(https://ep2016.europython.eu//conference/talks/a-gentle-introduction-to-neural-networks-with-python)
A gentle introduction to neural networks, and making your own with Python.
This session is deliberately designed to be accessible to everyone,
including anyone with no expertise in mathematics, computer science or
Python.
From this session you will have an intuitive understanding of what
neural networks are and how they work. If you are more technically
capable, you will see how you could make your own with Python and
numpy.
-----
Part 1 - Ideas:
- the search for AI, hard problems for computers easy fro humans
- learning from examples (simple classifier)
- biologically inspired neurons and networks
- training a neural network - the back propagation breakthrough
- matrix ways of working (good for computers)
Part 2 - Python:
- Python is easy, and everywhere
- Python notebooks
- the MNIST data set
- a very simple neural network class
- focus on concise and efficient matrix calculations with bumpy
- 97.5% accuracy recognising handwritten numbers - with just a few
lines of code!
Part 3 - Q&A

2 Simple Ways To Code Linked Lists In Python

LastVideo: https://www.youtube.com/watch?v=W-9hyTm1syc
How to code a linked list in 2 separate ways.
This is video #2 in my Linked List series.
From student...

LastVideo: https://www.youtube.com/watch?v=W-9hyTm1syc
How to code a linked list in 2 separate ways.
This is video #2 in my Linked List series.
From student to software engineer: Build your career at www.theforge.ca

LastVideo: https://www.youtube.com/watch?v=W-9hyTm1syc
How to code a linked list in 2 separate ways.
This is video #2 in my Linked List series.
From student to software engineer: Build your career at www.theforge.ca

AI for Resumes

Recruiting is a 200 billion dollar industry thats all about judging potential job candidates and seeing if they're a good fit for a position at a company. Recru...

Recruiting is a 200 billion dollar industry thats all about judging potential job candidates and seeing if they're a good fit for a position at a company. Recruiters receive thousands of resumes and are responsible for analyzing all of them. Theres essentially a massive amount of data that these humans have to parse through and find the best ones. This is easily a problem machine learning can solve, we'll build an app that can classify resumes into 27 different job categories using natural language processing via a convolutional neural network. I'll explain how in this video. Also its midterm time, so see the link below for the midterm assignment.
Code for this video (with midterm):
https://github.com/llSourcell/AI_for_Resumes
Please Subscribe! And like. And comment. That's what keeps me going.
Want more education? Connect with me here:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology
instagram: https://www.instagram.com/sirajraval
More learning resources:
https://medium.com/the-mission/how-i-turned-my-resume-into-a-bot-and-how-you-can-too-f03847352baa
https://www.textkernel.com/challenges-behind-parsing-matching-cvs-jobs/
https://www.quora.com/How-do-I-develop-a-resume-parser-using-NLP-Natural-Language-Processing?utm_medium=organic&utm_source=google_rich_qa&utm_campaign=google_rich_qa
https://dzone.com/articles/cv-r-cvs-retrieval-system-based-on-job-description
https://www.slideshare.net/zainulsayed39/218-intelligent
Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/
Sign up for the next course at The School of AI:
https://www.theschool.ai
And please support me on Patreon:
https://www.patreon.com/user?u=3191693
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w

Recruiting is a 200 billion dollar industry thats all about judging potential job candidates and seeing if they're a good fit for a position at a company. Recruiters receive thousands of resumes and are responsible for analyzing all of them. Theres essentially a massive amount of data that these humans have to parse through and find the best ones. This is easily a problem machine learning can solve, we'll build an app that can classify resumes into 27 different job categories using natural language processing via a convolutional neural network. I'll explain how in this video. Also its midterm time, so see the link below for the midterm assignment.
Code for this video (with midterm):
https://github.com/llSourcell/AI_for_Resumes
Please Subscribe! And like. And comment. That's what keeps me going.
Want more education? Connect with me here:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology
instagram: https://www.instagram.com/sirajraval
More learning resources:
https://medium.com/the-mission/how-i-turned-my-resume-into-a-bot-and-how-you-can-too-f03847352baa
https://www.textkernel.com/challenges-behind-parsing-matching-cvs-jobs/
https://www.quora.com/How-do-I-develop-a-resume-parser-using-NLP-Natural-Language-Processing?utm_medium=organic&utm_source=google_rich_qa&utm_campaign=google_rich_qa
https://dzone.com/articles/cv-r-cvs-retrieval-system-based-on-job-description
https://www.slideshare.net/zainulsayed39/218-intelligent
Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/
Sign up for the next course at The School of AI:
https://www.theschool.ai
And please support me on Patreon:
https://www.patreon.com/user?u=3191693
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w

2018 Predictions for the Analytics & Data Science Hiring Market

Several years into the "Big Data" craze, where do we go from here? The analytics & data science landscape has markedly changed over the past few years, and ever...

Several years into the "Big Data" craze, where do we go from here? The analytics & data science landscape has markedly changed over the past few years, and everyone is wondering what 2018 has in store.
In this presentation, Linda Burtch, Managing Director of Burtch Works, shares her top predictions for 2018 including:
- How to keep your skills current in a shifting market
- Why companies will increase their scrutiny of data science ROI
- Where the new Wild West of the analytics world is
- What skills employers will focus on this year
- Why Python is the new R
Whether you’re looking to transition your skills into data science, an experienced analytics professional, or a hiring manager looking to build up your team, find out where the market is headed!
For career tips and more information about our research, check out Burtch Works' other social media channels:
Twitter: https://twitter.com/burtchworks
LinkedIn: https://www.linkedin.com/company/burtch-works/
Facebook: https://facebook.com/burtchworks
Slideshare: https://slideshare.net/LindaBurtch
Blog: https://www.burtchworks.com/blog
Burtch Works is a targeted executive recruiting firm that specializes in placing exceptional quantitative business professionals. We work with highly-qualified professionals in many fields including marketing research, consumer insights, data science, data engineering, predictive analytics, marketing science, web analytics, direct marketing, credit/risk analytics, operations research, and many more.
Interested in learning more about how we can help with your hiring or want to find a new opportunity? Send us an email at info@burtchworks.com

Several years into the "Big Data" craze, where do we go from here? The analytics & data science landscape has markedly changed over the past few years, and everyone is wondering what 2018 has in store.
In this presentation, Linda Burtch, Managing Director of Burtch Works, shares her top predictions for 2018 including:
- How to keep your skills current in a shifting market
- Why companies will increase their scrutiny of data science ROI
- Where the new Wild West of the analytics world is
- What skills employers will focus on this year
- Why Python is the new R
Whether you’re looking to transition your skills into data science, an experienced analytics professional, or a hiring manager looking to build up your team, find out where the market is headed!
For career tips and more information about our research, check out Burtch Works' other social media channels:
Twitter: https://twitter.com/burtchworks
LinkedIn: https://www.linkedin.com/company/burtch-works/
Facebook: https://facebook.com/burtchworks
Slideshare: https://slideshare.net/LindaBurtch
Blog: https://www.burtchworks.com/blog
Burtch Works is a targeted executive recruiting firm that specializes in placing exceptional quantitative business professionals. We work with highly-qualified professionals in many fields including marketing research, consumer insights, data science, data engineering, predictive analytics, marketing science, web analytics, direct marketing, credit/risk analytics, operations research, and many more.
Interested in learning more about how we can help with your hiring or want to find a new opportunity? Send us an email at info@burtchworks.com

Super Simple Python Facebook ChatBot

This is a super simple python chatbot where we discuss how to get started doing python facebook bot development. We use Docker, DockerHub, Github, Ngrok, AWS, and Flask.
Thank you for watching this video. I hope you enjoy the content I post on the channel, subscribe and give feedback on your learnings with those who need to hear it. The more feedback you give the better we can make this for you.
Hit me with feedback below. I’ll reply to every comment.
—
Join the world’s fastest growing recruiting community, RecruitingLeaders on Facebookhttp://www.glance.fyi/fbgroup
—
► Subscribe to my channel here:
https://www.youtube.com/channel/UClcT0q1DpOWCXBvpm91Ph5w?sub_confirmation=1
—
Kam consults, advises and teaches recruiters how to grow their business, automate and alleviate marketing pain. He is a software developer turned recruiter and has experience building machine learning algorithms and recruiting products. He currently is a cofounder of Recruiting Leaders Academy and runs the world’s fastest growing facebook group for recruiters, Recruiting Leaders. He has spoken at SourceCon, taught hundreds of recruiters around the world and has been retained by some of the world's most innovative recruiting companies.
—
Follow MeOnline Here:
Instagram: http://instagram.com/kameronkales
Facebook: http://facebook.com/kameronkales
LinkedIn: https://www.linkedin.com/in/kameronkales
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Soundcloud: http://soundcloud.com/recruitingleaders
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Sticher: http://www.stitcher.com/s?fid=182860&refid=stpr
Medium: http://medium.com/@kales
Podcast: https://itunes.apple.com/us/podcast/recruiting-leaders/id1373829636?mt=2
Subscribe to my VIP chat for exclusive content and the best live trainings https://m.me/recruitingleadersacademy

Control Structures - Python Basics 5/10

This is video 5/10 in the PythonBasics video series where I'll be talking about ControlStructures.
Hope you enjoyed the video!
Check out this code here:
https://github.com/ebrian/engineerman/tree/master/025
Join my Discord server to chat with me:
https://discord.gg/k5VcqDP
Check out some code on my GitHub:
https://github.com/ebrian/engineerman
Tweet me something funny on Twitter:
https://twitter.com/_EngineerMan
Say hi over at Facebook:
https://www.facebook.com/engineermanyt
Sincerely,
Engineer Man

Tutorial: Technical Blogging for Python Programmers

Thursday Bram
https://2016.pycon-au.org/schedule/115/view_talk
This tutorial will cover how to write about your programming projects for an online audience, whether you're promoting your projects, recruiting open source contributors, or building up a blog to impress employers. We'll briefly cover the mechanics of blogging, then dive into how to write effectively about technical topics.

Tariq Rashid - A Gentle Introduction to Neural Networks (with Python)

Tariq Rashid - A Gentle Introduction to Neural Networks (with Python)
[EuroPython 2016]
[22 July 2016]
[Bilbao, Euskadi, Spain]
(https://ep2016.europython.eu//conference/talks/a-gentle-introduction-to-neural-networks-with-python)
A gentle introduction to neural networks, and making your own with Python.
This session is deliberately designed to be accessible to everyone,
including anyone with no expertise in mathematics, computer science or
Python.
From this session you will have an intuitive understanding of what
neural networks are and how they work. If you are more technically
capable, you will see how you could make your own with Python and
numpy.
-----
Part 1 - Ideas:
- the search for AI, hard problems for computers easy fro humans
- learning from examples (simple classifier)
- biologically inspired neurons and networks
- training a neural network - the back propagation breakthrough
- matrix ways of working (good for computers)
Part 2 - Python:
- Python is easy, and everywhere
- Python notebooks
- the MNIST data set
- a very simple neural network class
- focus on concise and efficient matrix calculations with bumpy
- 97.5% accuracy recognising handwritten numbers - with just a few
lines of code!
Part 3 - Q&A

2 Simple Ways To Code Linked Lists In Python

LastVideo: https://www.youtube.com/watch?v=W-9hyTm1syc
How to code a linked list in 2 separate ways.
This is video #2 in my Linked List series.
From student to software engineer: Build your career at www.theforge.ca

AI for Resumes

Recruiting is a 200 billion dollar industry thats all about judging potential job candidates and seeing if they're a good fit for a position at a company. Recruiters receive thousands of resumes and are responsible for analyzing all of them. Theres essentially a massive amount of data that these humans have to parse through and find the best ones. This is easily a problem machine learning can solve, we'll build an app that can classify resumes into 27 different job categories using natural language processing via a convolutional neural network. I'll explain how in this video. Also its midterm time, so see the link below for the midterm assignment.
Code for this video (with midterm):
https://github.com/llSourcell/AI_for_Resumes
Please Subscribe! And like. And comment. That's what keeps me going.
Want more education? Connect with me here:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology
instagram: https://www.instagram.com/sirajraval
More learning resources:
https://medium.com/the-mission/how-i-turned-my-resume-into-a-bot-and-how-you-can-too-f03847352baa
https://www.textkernel.com/challenges-behind-parsing-matching-cvs-jobs/
https://www.quora.com/How-do-I-develop-a-resume-parser-using-NLP-Natural-Language-Processing?utm_medium=organic&utm_source=google_rich_qa&utm_campaign=google_rich_qa
https://dzone.com/articles/cv-r-cvs-retrieval-system-based-on-job-description
https://www.slideshare.net/zainulsayed39/218-intelligent
Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/
Sign up for the next course at The School of AI:
https://www.theschool.ai
And please support me on Patreon:
https://www.patreon.com/user?u=3191693
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w

Python interpreters are available for installation on many operating systems, allowing Python code execution on a wide variety of systems. Using third-party tools, such as Py2exe or Pyinstaller, Python code can be packaged into stand-alone executable programs for some of the most popular operating systems, allowing the distribution of Python-based software for use on those environments without requiring the installation of a Python interpreter.

TrinityCatholic is the most heavily-recruited team in the state of Missouri, both in terms of college recruiting and their ability to attract the best players from around St ... 1 ranked recruit in the state of Missouri already committed to play his college football at Illinois ... Recruiting information was researched through 247sports.com....

Aggressive monkeys have forced the park’s closure on two occasions ... eliminating the macaques, and sterilizing the adult females ... “The monkeys invoke a lot of human emotion,” said Johnson, adding that it’s far less controversial to propose culling a non-native species like a python from Florida’s Everglades ... C ... ....

Metal Gear Solid: Portable Ops - Full Story versio...

2018 Predictions for the Analytics & Data Science ...

Latest News for: python recruiting

TrinityCatholic is the most heavily-recruited team in the state of Missouri, both in terms of college recruiting and their ability to attract the best players from around St ... 1 ranked recruit in the state of Missouri already committed to play his college football at Illinois ... Recruiting information was researched through 247sports.com....

Aggressive monkeys have forced the park’s closure on two occasions ... eliminating the macaques, and sterilizing the adult females ... “The monkeys invoke a lot of human emotion,” said Johnson, adding that it’s far less controversial to propose culling a non-native species like a python from Florida’s Everglades ... C ... ....

Back then, the Buffaloes were coming off seven consecutive losing seasons, had gone 3-15 in their two years in the Pac-12 and were several recruiting cycles away from a competitive roster ... Whittingham would win anywhere, but he wins consistently at Utah because of a philosophy and style of play that fits the Utes’ recruiting pool....

Usually one of the busiest weeks on the college basketball recruiting calendar, this early signing period has been a dud, and time is running out for the country’s top young stars to officially lock in their school decisions before the spring ...Either way, Whitney is firmly committed to UK and is not expected to reopen his recruitment....

(AP) — An effort to attract more teachers to Kansas has recruited just three educators so far, but the state is still on the hook to pay $270,000 to the organization behind the program ... Some lawmakers expressed disappointment in the low number of recruits and the fact that only one district has benefited....

Rather than choosing games with more popularity globally — such as “Fortnite,” “Overwatch,” or “League of Legends” — Oberle said he wants to recruit teams for melee fighting games — such as “Super Smash Bros.” and “Street Fighter” — along with “Call of Duty,” because it’s easier to recruit players locally....

The government plans to change public-service regulations to allow for&nbsp; recruitment in all entry-level posts in the public service without prior experience in its effort to address high youth unemployment. The focus of recruitment will in future be on minimum academic qualifications....